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High—Tier-1 brand, popular data role, and metro location increase candidate density.
High—requires deep data domain ownership, CRM/order familiarity, and specialized AI evaluation infrastructure experience.
High—explicit 8+ years and mandatory evaluation-infrastructure, domain ownership, and CRM expertise.
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Design and operate data architecture and pipelines for structured and unstructured data to support ServiceNow CRM Agentic AI.
Define and build agentic AI evaluation metrics, ground truth labeling standards, and automated pipelines to measure AI agent performance.
Set design standards, quality gates, mentor junior engineers, and generalize evaluation patterns for reuse across multiple teams.
8+ years in data engineering with production platform ownership experience.
Hands-on experience building evaluation infrastructure for ML/AI systems, including evaluation pipelines and quality dashboards.
Experience defining ground truth and managing labeling processes with guideline authoring.
Bachelor's degree in computer science, engineering, or a related technical field, or equivalent practical experience.
Demonstrated domain ownership of data platforms, including architecture and operational decision-making.
Experience in CRM, lead-to-cash, or order data domains with ability to assess real-world evaluation datasets.
Proven record of setting design standards and validation frameworks adopted by other teams.